Data · dataset · 2025
Regional dust-impacted areas originating from eastern Iran identified via visual interpretation of MODIS Terra/Aqua imagery (2000–2023)
Listed in Teesside University Research Data Repository
This dataset contains polygon features representing dust-impacted areas originating from eastern Iran and affecting parts of Southwest Asia between 2000 and 2023.
Description
Dust plumes were identified through visual interpretation of sub-daily MODIS Terra/Aqua true-color composite (RGB) imagery using NASA’s EOSDIS Worldview platform. On-screen digitizing in a Geographic Information System (GIS) environment was used to delineate the spatial extent of each dust event based on plume dispersion from identified dust hotspots.
To enhance temporal accuracy, imagery from both Terra (~10:30 local time) and Aqua (~13:30 local time) satellites was used, improving detection during daylight hours. Spatial and temporal clustering of adjacent dust hotspots was performed to group them into individual dust events. For multi-day events, the largest visible extent, captured before plume dissipation, was selected as the final footprint.
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Each polygon in the dataset is linked to metadata attributes, including the date of occurrence, total affected area, and a unique event ID corresponding to the clustered dust hotspots. The data are provided in standard GIS-compatible formats and include spatiotemporal attributes suitable for environmental, climatological, and hazard-related analyses.
Links
Where it is published
- DOI doi.org/10.17632/8dgyv8vz4h.2 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Engineering · Geoinformatics · Humanities · Life Sciences · Satellite remote sensing · Social Science
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/8dgyv8vz4h.2 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:group:3704 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Geoinformatics'] |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:remote-sensing | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Satellite Remote Sensing'] |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |